PolyQ
PolyQ catalogs human protein sequences containing polyglutamine (polyQ) tracts to enable investigation of sequence-context effects on aggregation and the molecular mechanisms of polyglutamine diseases.
Key Features:
- Comprehensive Sequence Collection: Compiles human protein sequences that contain runs of seven or more glutamine residues.
- Annotated Domain Information: Provides detailed domain annotations for each sequence to define the structural and functional context of polyQ tracts.
- Contextual Sequence Querying: Enables interrogation of sequences based on repeat tract location and host protein architecture to assess context-dependent properties.
- Support for Bioinformatic Analysis: Supplies annotated datasets intended for computational analysis of aggregation propensity and sequence–context relationships relevant to polyglutamine disorders.
Scientific Applications:
- Disease mechanism investigation: Facilitates study of polyglutamine diseases such as Huntington's disease and certain spinocerebellar ataxias by linking polyQ tracts to host protein context.
- Aggregation propensity analysis: Enables examination of how domain architecture, repeat tract location, and host protein properties influence aggregation into β-sheet rich structures and neuronal toxicity.
- Therapeutic target discovery: Informs identification of sequence-context features that may be targeted to mitigate or prevent toxic aggregation in polyQ disorders.
Methodology:
Systematic collection and annotation of human protein sequences containing significant polyglutamine tracts with emphasis on domain architecture and repeat tract location to support bioinformatic analysis.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- PHP
- Added:
- 3/27/2017
- Last Updated:
- 12/10/2018
Operations
Data Inputs & Outputs
Publications
Robertson AL, et al. PolyQ: a database describing the sequence and domain context of polyglutamine repeats in proteins. Nucleic Acids Res. 2011; 39:D272-6. doi: 10.1093/nar/gkq1100
PMID: 21059684